Přehled

Title: Deep learning in cardiac MRI applications
Study program: Biomedical Technology and Bioinformatics
Supervisor: Ing. Vratislav Harabiš, PhD

Topic description:

This thesis focuses on advanced image processing methods in cardiovascular diagnostics using magnetic resonance imaging (MRI). The first step involves determining the radiological planes of the heart using overview images, which is crucial for valid heart imaging for further analysis. Research indicates that applying deep learning methods can accelerate this process. The second step is to develop new methods for analyzing MRI data and supporting diagnostics, such as segmentation for assessing heart volumes, myocardial thickness, and more. The research will be conducted in collaboration with national healthcare institutions (FN Brno, ICRC Brno) and international institutions (IRST IRCCS Meldola Italy, Philips Healthcare Netherlands, King’s College London, UK).

Your task:

  1. Advanced Image Processing in Cardiovascular Diagnostics: To introduce yourself into hearth imaging using modern approaches in MRI (magnetic resonance imaging).
  2. Development of New Analysis Methods: Develop new methods, which include segmentation for assessing heart volumes, myocardial thickness, and more
  3. Testing and Validation of methods: Test and validate your methods using clinical data. Data is provided by our cooperating institutions.

Requirements:

  • Interest in scientific activities, image processing and machine learning
  • Knowledge of programming languages (eg. C++, Python, Matlab)
  • Relevant degree with appropriate engineering and/or IT knowledge
  • English communication skills

We offer:

  • Our core objective is to provide the doctoral students with a supportive and highly scientific work environment that fosters collaboration
  • The doctoral students complete 3-6 months of internships at partner universities abroad
  • The Department provides doctoral students with a scholarship beyond the state scholarship in the form of a supplementary stipend or salary when participating in a grant project

For more information about this topic please contact Vratislav Harabiš – harabis@vut.com

Relevant publications:

https://onlinelibrary.wiley.com/doi/10.1002/jmri.22626
https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.15327
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6884027/

How to apply:

Please apply and submit your motivation letter and CV via university website from April 1 to April 30, https://www.vut.cz/eprihlaska/cs/zadani/vybrat-obor/fakulta/5

Funding:
Funding is provided as a combination of part-time or full-time research projects and/or regular scholarships.

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